Middleware/cn-data-platform
5
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

dataV原始数据数据清洗

Browse Source
This commit is contained in:
xy
2025-02-12 15:21:37 +08:00
parent 1f9c7e0b95
commit 935df88f3f
14 changed files with 246 additions and 76 deletions
Download Patch File Download Diff File Expand all files Collapse all files

28
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/executor/MeasurementExecutor.java
View File

@@ -1,6 +1,7 @@
package com.njcn.algorithm.executor;
import com.njcn.algorithm.service.line.DayDataService;
import com.njcn.algorithm.service.line.IDataCleanService;
import com.njcn.algorithm.service.line.IDayDataService;
import com.yomahub.liteflow.annotation.LiteflowComponent;
import com.yomahub.liteflow.annotation.LiteflowMethod;
import com.yomahub.liteflow.core.NodeComponent;
@@ -23,12 +24,26 @@ import javax.annotation.Resource;
public class MeasurementExecutor extends BaseExecutor {
@Resource
private DayDataService dayDataService;
private IDayDataService dayDataService;
@Resource
private IDataCleanService dataCleanService;
/********************************************算法负责人:xy***********************************************************/
/**
* 算法名: 3.4.1.1-----监测点报表_日表(r_stat_data_*_d)
* @author xuyang
* 数据清洗（dataV）
* @author xy
*/
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataVClean", nodeType = NodeTypeEnum.COMMON)
public boolean dataVCleanAccess(NodeComponent bindCmp) {
return isAccess(bindCmp);
}
@LiteflowMethod(value = LiteFlowMethodEnum.PROCESS, nodeId = "dataVClean", nodeType = NodeTypeEnum.COMMON)
public void dataVCleanProcess(NodeComponent bindCmp) {
dataCleanService.dataVCleanHandler(bindCmp.getRequestData());
}
/**
* 监测点报表_日表(r_stat_data_*_d)
* @author xy
*/
@LiteflowMethod(value = LiteFlowMethodEnum.IS_ACCESS, nodeId = "dataV", nodeType = NodeTypeEnum.COMMON)
public boolean dataVToDayAccess(NodeComponent bindCmp) {
@@ -39,7 +54,4 @@ public class MeasurementExecutor extends BaseExecutor {
dayDataService.dataVHandler(bindCmp.getRequestData());
}
/********************************************算法负责人:xy结束***********************************************************/
}

17
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDataCleanService.java Normal file
View File

@@ -0,0 +1,17 @@
package com.njcn.algorithm.service.line;
import com.njcn.algorithm.pojo.bo.CalculatedParam;
/**
* @author xy
*/
public interface IDataCleanService {
/***
* dataV数据清洗
* @author xy
* @param calculatedParam 查询条件
*/
void dataVCleanHandler(CalculatedParam calculatedParam);
}

2
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/DayDataService.java → algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/service/line/IDayDataService.java
View File

@@ -5,7 +5,7 @@ import com.njcn.algorithm.pojo.bo.CalculatedParam;
/**
* @author xy
*/
public interface DayDataService {
public interface IDayDataService {
/***

56
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DataCleanServiceImpl.java Normal file
View File

@@ -0,0 +1,56 @@
package com.njcn.algorithm.serviceimpl.line;
import cn.hutool.core.collection.CollUtil;
import com.njcn.algorithm.pojo.bo.CalculatedParam;
import com.njcn.algorithm.service.line.IDataCleanService;
import com.njcn.dataProcess.api.DataVFeignClient;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.DataVDto;
import com.njcn.dataProcess.util.TimeUtils;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.collections4.ListUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.List;
/**
* @author xy
*/
@Slf4j
@Component
@RequiredArgsConstructor
public class DataCleanServiceImpl implements IDataCleanService {
private static final Logger logger = LoggerFactory.getLogger(DataCleanServiceImpl.class);
private final static Integer NUM = 100;
@Resource
private DataVFeignClient dataVFeignClient;
@Override
public void dataVCleanHandler(CalculatedParam calculatedParam) {
List<DataVDto> result = new ArrayList<>();
LineCountEvaluateParam lineParam = new LineCountEvaluateParam();
lineParam.setStartTime(TimeUtils.getBeginOfDay(calculatedParam.getDataDate()));
lineParam.setEndTime(TimeUtils.getEndOfDay(calculatedParam.getDataDate()));
List<List<String>> pendingIds = ListUtils.partition(calculatedParam.getIdList(),NUM);
pendingIds.forEach(list->{
lineParam.setLineId(list);
List<DataVDto> partList = dataVFeignClient.getRawData(lineParam).getData();
if (CollUtil.isNotEmpty(partList)) {
partList.forEach(item->{
item.setAbnormalFlag(0);
});
result.addAll(partList);
}
});
if (CollUtil.isNotEmpty(result)) {
dataVFeignClient.addInfluxDbList(result);
}
}
}

9
algorithm/algorithm-boot/src/main/java/com/njcn/algorithm/serviceimpl/line/DayDataServiceImpl.java
View File

@@ -2,7 +2,7 @@ package com.njcn.algorithm.serviceimpl.line;
import cn.hutool.core.collection.CollUtil;
import com.njcn.algorithm.pojo.bo.CalculatedParam;
import com.njcn.algorithm.service.line.DayDataService;
import com.njcn.algorithm.service.line.IDayDataService;
import com.njcn.dataProcess.api.DataVFeignClient;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -26,7 +26,7 @@ import java.util.*;
@Slf4j
@Component
@RequiredArgsConstructor
public class DayDataServiceImpl implements DayDataService {
public class DayDataServiceImpl implements IDayDataService {
private static final Logger logger = LoggerFactory.getLogger(DayDataServiceImpl.class);
private final static Integer NUM = 100;
@@ -61,8 +61,7 @@ public class DayDataServiceImpl implements DayDataService {
dto.setLineId(item.getLineId());
dto.setPhasicType(item2.getPhasicType());
dto.setValueType(item3.getValueType());
//todo 数据清洗的功能需要讨论在哪完成
dto.setQualityFlag(0);
dto.setQualityFlag("0");
channelDataVHandler(item3,valueTypes,dto,true);
result.add(dto);
});
@@ -87,7 +86,7 @@ public class DayDataServiceImpl implements DayDataService {
} else {
valueType = pojo1;
}
//todo 按照集合排列顺序取值
//按照指标集合排列顺序取值
dto.setFreq(getData(valueType.getValueType(),valueType.getValueList().get(0),scheme));
dto.setFreqDev(getData(valueType.getValueType(),valueType.getValueList().get(1),scheme));
dto.setRms(getData(valueType.getValueType(),valueType.getValueList().get(2),scheme));

14
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/DataVFeignClient.java
View File

@@ -5,6 +5,7 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.fallback.DataVFeignClientFallbackFactory;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataVDto;
import org.springframework.cloud.openfeign.FeignClient;
@@ -25,13 +26,24 @@ public interface DataVFeignClient {
@PostMapping("/batchInsertion")
HttpResult<String> batchInsertion(@RequestBody List<DataVDTO> dataVDTOList);
@PostMapping("/monitoringTime")
HttpResult<List<LocalDateTime>> monitoringTime(@RequestParam("lineId") String lineId, @RequestParam("localData") String localData) ;
//获取原始数据
@PostMapping("/getRawData")
HttpResult<List<DataVDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam);
//获取算法基础数据
@PostMapping("/getBaseData")
HttpResult<List<CommonMinuteDto>> getBaseData(@RequestBody LineCountEvaluateParam lineParam);
//批量插入数据
@PostMapping("/addList")
HttpResult<String> addList(@RequestBody List<DataVDto> dataVDtoList);
HttpResult<String> addList(@RequestBody List<DataVDto> list);
//批量插入时序数据
@PostMapping("/addInfluxDbList")
HttpResult<String> addInfluxDbList(@RequestBody List<DataVDto> list);
}

15
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/api/fallback/DataVFeignClientFallbackFactory.java
View File

@@ -6,10 +6,10 @@ import com.njcn.common.pojo.response.HttpResult;
import com.njcn.dataProcess.api.DataVFeignClient;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataVDto;
import com.njcn.dataProcess.util.DataProcessingEnumUtil;
import com.njcn.system.utils.SystemEnumUtil;
import feign.hystrix.FallbackFactory;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
@@ -54,6 +54,12 @@ public class DataVFeignClientFallbackFactory implements FallbackFactory<DataVFei
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<DataVDto>> getRawData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取原始数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<List<CommonMinuteDto>> getBaseData(LineCountEvaluateParam lineParam) {
log.error("{}异常，降级处理，异常为：{}","获取算法基础数据",cause.toString());
@@ -61,11 +67,16 @@ public class DataVFeignClientFallbackFactory implements FallbackFactory<DataVFei
}
@Override
public HttpResult<String> addList(List<DataVDto> dataVDtoList) {
public HttpResult<String> addList(List<DataVDto> list) {
log.error("{}异常，降级处理，异常为：{}","批量插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
@Override
public HttpResult<String> addInfluxDbList(List<DataVDto> list) {
log.error("{}异常，降级处理，异常为：{}","时序数据库插入数据",cause.toString());
throw new BusinessException(finalExceptionEnum);
}
};
}
}

74
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/po/influx/DataV.java
View File

@@ -33,15 +33,28 @@ public class DataV {
@JsonSerialize(using = InstantDateSerializer.class)
private Instant time;
@Column(name = "line_id", tag = true)
private String lineId;
@Column(name = "phasic_type", tag = true)
private String phasicType;
@Column(name = "value_type", tag = true)
private String valueType;
@Column(name = "quality_flag", tag = true)
private String qualityFlag;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;
@Column(name = "freq")
private Double freq;
@Column(name = "freq_dev")
private Double freqDev;
@Column(name = "quality_flag", tag = true)
private String qualityFlag;
@Column(name = "rms")
private Double rms;
@@ -54,6 +67,21 @@ public class DataV {
@Column(name = "vu_dev")
private Double vuDev;
@Column(name = "v_neg")
private Double vNeg;
@Column(name = "v_pos")
private Double vPos;
@Column(name = "v_thd")
private Double vThd;
@Column(name = "v_unbalance")
private Double vUnbalance;
@Column(name = "v_zero")
private Double vZero;
@Column(name = "v_1")
private Double v1;
@@ -204,46 +232,6 @@ public class DataV {
@Column(name = "v_50")
private Double v50;
@Column(name = "v_neg")
private Double vNeg;
@Column(name = "v_pos")
private Double vPos;
@Column(name = "v_thd")
private Double vThd;
@Column(name = "v_unbalance")
private Double vUnbalance;
@Column(name = "v_zero")
private Double vZero;
@Column(name = "line_id", tag = true)
private String lineId;
@Column(name = "phasic_type", tag = true)
private String phasicType;
@Column(name = "value_type", tag = true)
private String valueType;
//自定义字段-总计算次数
@Column(name = "all_time")
private Integer allTime;
//自定义字段
@Column(name = "mean")
private Double mean;
//自定义字段
@Column(name = "count")
private Integer count;
//是否是异常指标数据，0否1是
@Column(name = "abnormal_flag")
private Integer abnormalFlag;
public static List<DataV> relationToInfluxDB(DataVDTO dataV) {
if (dataV == null) {
return null;

8
data-processing/data-processing-api/src/main/java/com/njcn/dataProcess/pojo/dto/DataVDto.java
View File

@@ -15,6 +15,9 @@ public class DataVDto implements Serializable {
@JsonFormat(pattern = "yyyy-MM-dd")
private String time;
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss")
private String minTime;
@ApiModelProperty("监测点Id")
private String lineId;
@@ -25,7 +28,10 @@ public class DataVDto implements Serializable {
private String valueType;
@ApiModelProperty("数据质量标志（0-表示是正常数据、1-表示是错误数据、2-表示是有事件的数据）数据库默认是0，污染数据不参与报表统计")
private Integer qualityFlag;
private String qualityFlag;
@ApiModelProperty("数据清洗标识 0:正常 1:异常")
private Integer abnormalFlag;
@ApiModelProperty("频率")
private Double freq;

24
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/controller/DataVController.java
View File

@@ -6,10 +6,10 @@ import com.njcn.common.pojo.enums.common.LogEnum;
import com.njcn.common.pojo.enums.response.CommonResponseEnum;
import com.njcn.common.pojo.response.HttpResult;
import com.njcn.common.utils.HttpResultUtil;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.dto.DataVFiveItemDTO;
import com.njcn.dataProcess.annotation.InsertBean;
import com.njcn.dataProcess.annotation.QueryBean;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.dto.DataVFiveItemDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataVDto;
@@ -75,6 +75,15 @@ public class DataVController extends BaseController {
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, localDateTimeList, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getRawData")
@ApiOperation("获取原始数据")
public HttpResult<List<DataVDto>> getRawData(@RequestBody LineCountEvaluateParam lineParam) {
String methodDescribe = getMethodDescribe("getRawData");
List<DataVDto> data = dataVQuery.getRawData(lineParam);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, data, methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.QUERY)
@PostMapping("/getBaseData")
@ApiOperation("获取算法基础数据")
@@ -86,12 +95,19 @@ public class DataVController extends BaseController {
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addList")
@ApiOperation("批量插入数据")
@ApiOperation("关系型数据库插入数据")
public HttpResult<String> addList(@RequestBody List<DataVDto> dataVDtoList) {
String methodDescribe = getMethodDescribe("addList");
dataVInsert.addList(dataVDtoList);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
@OperateInfo(info = LogEnum.BUSINESS_COMMON,operateType = OperateType.ADD)
@PostMapping("/addInfluxDbList")
@ApiOperation("时序数据库插入数据")
public HttpResult<String> addInfluxDbList(@RequestBody List<DataVDto> dataVList) {
String methodDescribe = getMethodDescribe("addInfluxDbList");
dataVInsert.addInfluxDbList(dataVList);
return HttpResultUtil.assembleCommonResponseResult(CommonResponseEnum.SUCCESS, "", methodDescribe);
}
}

10
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/IDataV.java
View File

@@ -4,6 +4,7 @@ import com.github.jeffreyning.mybatisplus.service.IMppService;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.dto.DataVFiveItemDTO;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
import com.njcn.dataProcess.pojo.dto.DataVDto;
import com.njcn.dataProcess.pojo.po.RStatDataVD;
@@ -30,6 +31,13 @@ public interface IDataV extends IMppService<RStatDataVD> {
List<LocalDateTime> monitoringTime(String lineId, String localData);
/**
* 获取原始数据
* @param lineParam
* @return
*/
List<DataVDto> getRawData(LineCountEvaluateParam lineParam);
/**
* 获取监测点原始数据
* @param lineParam 监测点参数
@@ -40,4 +48,6 @@ public interface IDataV extends IMppService<RStatDataVD> {
* 批量插入数据
*/
void addList(List<DataVDto> dataVDtoList);
void addInfluxDbList(List<DataVDto> dataVList);
}

45
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/influxdb/InfluxdbDataVImpl.java
View File

@@ -2,17 +2,15 @@ package com.njcn.dataProcess.service.impl.influxdb;
import cn.hutool.core.collection.CollectionUtil;
import cn.hutool.core.collection.ListUtil;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.common.utils.HarmonicTimesUtil;
import com.njcn.dataProcess.constant.InfluxDBTableConstant;
import com.njcn.dataProcess.constant.PhaseType;
import com.njcn.dataProcess.dao.imapper.DataVMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataVRelationMapper;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.dto.DataVFiveItemDTO;
import com.njcn.dataProcess.dto.LineDataVFiveItemDTO;
import com.njcn.dataProcess.dao.imapper.DataVMapper;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.influx.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -23,10 +21,13 @@ import com.njcn.dataProcess.util.TimeUtils;
import com.njcn.influx.constant.InfluxDbSqlConstant;
import com.njcn.influx.query.InfluxQueryWrapper;
import org.apache.commons.collections4.ListUtils;
import org.springframework.beans.BeanUtils;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.time.LocalDateTime;
import java.time.ZoneId;
import java.time.format.DateTimeFormatter;
import java.util.*;
import java.util.stream.Collectors;
@@ -38,6 +39,8 @@ import java.util.stream.Collectors;
@Service("InfluxdbDataVImpl")
public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper, RStatDataVD> implements IDataV {
private final DateTimeFormatter DATE_TIME_FORMATTER = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss").withZone(ZoneId.systemDefault());;
@Resource
private DataVMapper dataVMapper;
@@ -113,10 +116,23 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
return null;
}
@Override
public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) {
List<DataVDto> result = new ArrayList<>();
List<DataV> list = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(), false);
list.forEach(item->{
DataVDto dto = new DataVDto();
BeanUtils.copyProperties(item,dto);
dto.setMinTime(DATE_TIME_FORMATTER.format(item.getTime()));
result.add(dto);
});
return result;
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
List<CommonMinuteDto> result = new ArrayList<>();
List<DataV> dataVList = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime());
List<DataV> dataVList = getMinuteDataV(lineParam.getLineId(), lineParam.getStartTime(), lineParam.getEndTime(),true);
if (CollectionUtil.isNotEmpty(dataVList)) {
String time = TimeUtils.StringTimeToString(lineParam.getStartTime());
//以监测点分组
@@ -137,7 +153,7 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
valueTypeMap.forEach((valueType,valueTypeList)->{
CommonMinuteDto.ValueType value = new CommonMinuteDto.ValueType();
value.setValueType(valueType);
//todo 规定好集合指标参数
//规定好集合指标参数
List<Double> data1 = valueTypeList.stream().map(DataV::getFreq).collect(Collectors.toList());
List<Double> data2 = valueTypeList.stream().map(DataV::getFreqDev).collect(Collectors.toList());
List<Double> data3 = valueTypeList.stream().map(DataV::getRms).collect(Collectors.toList());
@@ -226,10 +242,22 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
}
@Override
public void addInfluxDbList(List<DataVDto> dataVList) {
List<DataV> result = new ArrayList<>();
dataVList.forEach(item->{
DataV dataV = new DataV();
BeanUtils.copyProperties(item, dataV);
dataV.setTime(LocalDateTime.parse(item.getMinTime(), DATE_TIME_FORMATTER).atZone(ZoneId.systemDefault()).toInstant());
result.add(dataV);
});
dataVMapper.insertBatch(result);
}
/**
* 按监测点集合、时间条件获取dataV分钟数据
*/
public List<DataV> getMinuteDataV(List<String> lineList, String startTime, String endTime) {
public List<DataV> getMinuteDataV(List<String> lineList, String startTime, String endTime, boolean clean) {
InfluxQueryWrapper influxQueryWrapper = new InfluxQueryWrapper(DataV.class);
influxQueryWrapper.samePrefixAndSuffix(InfluxDbSqlConstant.V, "", HarmonicTimesUtil.harmonicTimesList(1, 50, 1));
influxQueryWrapper.regular(DataV::getLineId, lineList)
@@ -247,8 +275,11 @@ public class InfluxdbDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
.select(DataV::getVZero)
.select(DataV::getVlDev)
.select(DataV::getVuDev)
.select(DataV::getQualityFlag)
.between(DataV::getTime, startTime, endTime);
System.out.println(influxQueryWrapper.generateSql());
if (clean) {
influxQueryWrapper.eq(DataV::getAbnormalFlag,0);
}
return dataVMapper.selectByQueryWrapper(influxQueryWrapper);
}

17
data-processing/data-processing-boot/src/main/java/com/njcn/dataProcess/service/impl/relation/RelationDataVImpl.java
View File

@@ -2,11 +2,10 @@ package com.njcn.dataProcess.service.impl.relation;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.github.jeffreyning.mybatisplus.service.MppServiceImpl;
import com.njcn.dataProcess.dao.relation.mapper.DataVRelationMapper;
import com.njcn.dataProcess.dao.relation.mapper.RStatDataVRelationMapper;
import com.njcn.dataProcess.dto.DataVDTO;
import com.njcn.dataProcess.dto.DataVFiveItemDTO;
import com.njcn.dataProcess.dao.relation.mapper.DataVRelationMapper;
import com.njcn.dataProcess.param.LineCountEvaluateParam;
import com.njcn.dataProcess.po.relation.DataV;
import com.njcn.dataProcess.pojo.dto.CommonMinuteDto;
@@ -84,6 +83,11 @@ public class RelationDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
return result;
}
@Override
public List<DataVDto> getRawData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
}
@Override
public List<CommonMinuteDto> getBaseData(LineCountEvaluateParam lineParam) {
return Collections.emptyList();
@@ -99,6 +103,13 @@ public class RelationDataVImpl extends MppServiceImpl<RStatDataVRelationMapper,
BeanUtils.copyProperties(item, dataV);
result.add(dataV);
});
iDataV.saveOrUpdateBatchByMultiId(result);
iDataV.saveOrUpdateBatch(result);
}
@Override
public void addInfluxDbList(List<DataVDto> dataVList) {
}
}

1
data-processing/data-processing-boot/src/main/resources/bootstrap.yml
View File

@@ -55,6 +55,7 @@ mqtt:
data:
source:
query: Influxdb
# insert: Influxdb
insert: Relation
#mybatis配置信息
mybatis-plus: